AI/ML Engineer
hace 4 semanas
Drive Innovation with AI/ML at HP Industrial Print
HP Industrial Print, a division of HP Inc., is at the forefront of providing innovative printing solutions and services for the graphic arts and commercial printing sectors. We're driving the digital transformation of the print industry with a focus on accessibility, agility, security, and sustainability.
Our groundbreaking products and services enable businesses to stay ahead of market changes and expand their capabilities with world-class digital printing solutions.
With a vision to revolutionize Industrial Print, we've deployed more than 8000 presses worldwide, serving 5500 customers across 82 countries.
As leaders in the commercial, label, and packaging segments, HP Industrial Print is dedicated to empowering businesses to unlock their full potential, driving limitless growth and new opportunities.
At the heart of HP's business strategy is Sustainable Impact across three pillars of Climate Action, Human Rights, and Digital Equity.
Rooted in science, HP is recognized as one of the world's most sustainable companies.
We're seeking a talented AI/ML Engineer who is excited about solving complex problems and developing cutting-edge AI solutions.
Your expertise in machine learning, data analysis, and software engineering will be crucial in driving our projects forward.
Key Responsibilities:
- Develop and implement machine learning models and other algorithms to solve business problems.
- Design, build, and maintain scalable AI systems and infrastructure.
- Collaborate with architects, data engineers, software engineers, and product managers to integrate AI solutions into products and services.
- Conduct data analysis and preprocessing to ensure high-quality input for AI models.
- Monitor and optimize the performance of AI models and systems, making adjustments as needed.
- Stay updated with the latest developments in AI and machine learning technologies and incorporate them into ongoing projects.
- Troubleshoot and debug AI-related issues in collaboration with cross-functional teams.
- Document AI solutions, processes, and findings to ensure knowledge sharing and reproducibility.
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